OPT AI Architect Jobs
AI Architect jobs on OPT require employers to support STEM OPT extension eligibility, since the role falls under CIP code 11.0401. Most positions involve designing large-scale AI systems, so expect technical interviews focused on model architecture, MLOps pipelines, and production deployment. Cap-gap protection matters if you're targeting H-1B visa sponsorship.
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BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
About the Company
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
Responsibilities
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
- Write clean and efficient code, and ensure code maintainability and reusability.
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
- Perform code reviews to ensure code quality and consistency.
- Conduct testing to ensure application quality and reliability.
- Create and maintain technical documentation for web applications.
- Participate in project planning, estimation, and prioritization.
- Stay up to date with the latest technologies for Python development.
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.
Qualifications
- Experience in software development in Python3.
- Decent understanding of the software development/testing life cycle.
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc).
- Experience with version control tools, such as Git.
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
- Solid knowledge of vector search concepts and at least one vector DB in production.
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.
Preferred Skills
- Master’s Degree in Computer Science, Software Engineering, or related field.
- 1+ year professional experience in Python web application development with either Flask or Django.
- Experience in RESTful API development in Python.
- Understanding of Python web application frameworks such as Flask or Django.
- Experience with Cloud services, such as AWS.
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, CloudRun/GKE, storage).
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
See all 388+ OPT AI Architect Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in AI Architect
Confirm STEM OPT eligibility before applying
AI Architect roles qualify under computer science and engineering CIP codes, making you eligible for a 24-month STEM OPT extension. Verify your degree field appears on the official STEM designated degree program list before submitting applications.
Target employers with active E-Verify enrollment
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters directly during early screening calls. Many large tech firms and AI-native companies already participate, but mid-size employers often need a heads-up before onboarding.
Time your job search against OPT expiration
Apply at least 90 days before your OPT end date. AI Architect hiring cycles run long due to technical rounds and committee approvals. Starting early gives you room to complete the full process without losing authorized work status mid-interview.
Frame your immigration status proactively with employers
Lead with your STEM OPT timeline and H-1B visa cap-gap protection in recruiter conversations. Employers unfamiliar with OPT often assume higher complexity. A brief, confident explanation of your authorized period removes hesitation before it becomes a blocker.
Prioritize roles with defined H-1B sponsorship pipelines
Ask hiring managers directly whether the company has sponsored H-1B visas in the past two years. Firms with established immigration counsel and recurring sponsorship history move significantly faster than those encountering the process for the first time.
Document your work product throughout OPT for Form I-983
STEM OPT requires a training plan submitted on Form I-983, updated with your employer. As an AI Architect, log specific projects, model deployments, and architectural decisions. Detailed documentation protects your extension status if USCIS issues a request for evidence.
AI Architect OPT: Frequently Asked Questions
Can I work as an AI Architect on OPT without H-1B sponsorship right away?
Yes. Your OPT work authorization is independent of H-1B sponsorship. You can begin working as an AI Architect immediately after your OPT start date, provided the role relates to your degree field. The STEM OPT extension gives you up to 36 months of total authorized work time, during which employers can initiate H-1B sponsorship.
Does an AI Architect role qualify for the STEM OPT extension?
AI Architect positions typically qualify under computer science, computer engineering, or electrical engineering degree programs, all of which appear on the STEM designated degree program list. Your eligibility depends on your specific degree's CIP code, not the job title alone. Confirm with your designated school official before applying for the extension on your SEVIS record.
How do I find AI Architect jobs where employers are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and filters for employers willing to hire candidates on work authorization. Searching there surfaces AI Architect openings from companies already familiar with STEM OPT requirements, which significantly reduces time spent screening out roles where your status is a non-starter.
What happens to my OPT status if I'm between AI Architect jobs?
OPT permits up to 90 days of unemployment during the standard period and 150 days total if you receive a STEM extension. Days without a formal employment relationship count toward that limit. If an offer falls through or a contract ends, begin your next search immediately and notify your DSO to keep your SEVIS record current.
Do AI Architect contractors or consulting arrangements count as valid OPT employment?
Yes, consulting and contract arrangements can qualify, but the work must directly relate to your degree field and you must have a formal engagement with the company. Self-employment structures are generally not permitted on OPT. For STEM OPT extension, the employer must be E-Verify enrolled and sign Form I-983 as your training plan supervisor.